[37] Visualize Your Pandas Dataframe with Zero Effort with Lux (Doris Lee)
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Doris Lee: Visualize Your Pandas Dataframe with Zero Effort with Lux
Exploratory Data Analysis
Key Links
Transcript: https://github.com/data-umbrella/even...
Meetup Event: https://www.meetup.com/data-umbrella/...
Video: • [37] Visualize Your Pandas Dataframe with ...
GitHub repo: https://github.com/lux-org/lux
Resources
Slides / Notebook: https://tinyurl.com/demo-lux
Research paper: [Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows](https://arxiv.org/pdf/2105.00121.pdf)
Agenda
00:00 Reshama introduces Data Umbrella
05:15 Doris begins talk
06:43 Working with pandas
09:28 Lux
09:55 Hands-on demo: https://tinyurl.com/demo-lux
13:19 Data cleaning with lux (data manipulation + visualization without changing a line of your pandas code)
14:40 Steering analysis with intent
17:12 Quick inspection of 1-D series
18:58 Quick-and-dirty experimentation with visualizations
21:38 Some interesting findings
25:50 Exporting visualization insight to edit and share: from lux to altair or matplotlib
29:12 About Lux: Lux builds on 5 years of research from UC Berkeley (https://arxiv.org/pdf/2105.00121.pdf)
30:38 Always-on dataframe visualization beyond tables
31:28 Preserving Pandas functionalities
32:25 Steering recommendations based on user intent (Lux supports high-level intent language for specifying analysis interest)
33:15 Quick and dirty Experimentation of Vis
35:13 Seamless export for sharing and presentation
36:13 Open source adoption
37:04 Getting started with Lux, installation, etc.
38:40 Q: Does Lux work within RStudio environment?
39:22 Q: What preprocessing should we do on our dataframes before using lux
40:55 Q: What is Lux driven by under the hood? Is it NLP?
42:48 Q: What are the available idioms (intent) within Lux for data viz?
45:10 Q: How is Lux funded?
46:17 Q: Can beginners contribute to Lux open source project?
48:30 Q: Should we get used to these types of tools for information analysis?
50:58 Q: Can Lux produce box and whisker plots?
Event
Visualizations help data scientists discover trends, patterns, identify outliers, and derive insights from their data. However, existing visualization libraries in Python require users to write a substantial amount of code for plotting even a single visualization, often hindering the flow of data exploration. In this talk, you will learn about Lux, a lightweight visualization tool on top of Pandas dataframes. Lux recommends visualizations for free to users as they explore their data within a Jupyter notebook without the need to write additional code. For more information, see: https://github.com/lux-org/lux
About the Speaker
Doris Lee is a PhD graduate from the School of Information at UC Berkeley working on interactive data science tools. More at: http://dorisjunglinlee.com/
LinkedIn: / dorisjlee
Twitter: / dorisjlee
GitHub: https://github.com/dorisjlee
#eda #dataviz #pandas